Overflows of elastic traffic

• Autorzy: Głąbowski M. , Kmiecik D.
• Języki publikacji: EN

Abstrakty

EN

This article presents the results of a study on hierarchical multiservice traffic overflow systems. The systems under investigation were composed of a number of primary resources and one alternative resource. Traffic in the considered systems was generated with the assumption that tere was a finite number of traffic sources in individual classes. Further assumption was that offered traffic is elastic traffic for which – with an increase of the load of the system – a change in the volume of allocated resources is possible followed by concurrent extension of their service time. The article includes the results that present the bloking probabilisty In The sample elastic trafficoverflow systems. The study focuses on a determination of the influence of the traffic intensity, volume of resources, degree of compression, resource with compression (primary resources, alternative resources)and the cardinality of traffic sources on values of the blocking probability in individual call classes and on the number of calls that overflow to the alternative resource.

Słowa kluczowe

EN

elastic traffic; compression; TCP protocols

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2017
• Tom: Vol. 22, no. 1
• Strony: 13--26
• Opis fizyczny: Bibliogr. 34 poz., rys.

Twórcy

autor

Głąbowski M.

autor

Kmiecik D.

• Poznan University of Technology, Faculty of Electronics and Telecommunications

Bibliografia

• [1] Bonald T., Roberts J. (2012). Internet and the Erlang Formula. In ACM Computer Communications Review, vol. 42, (pp. 23–30). ACM.
• [2] Bretschneider G. (1973). Extension of the Equivalent Random Method to Smooth Traffics. In Proceedings of 7th International Teletraffic Congress, Stockholm.
• [3] Chung S-P., Lee J-C. (2005, May). Performance Analysis and Overflowed Traffic Characterizationin Multiservice Hierarchical Wireless Networks. In IEEE Transactions on Wireless Communications, 4(3) (pp. 904–918). IEEE.
• [4] Fernandes S., Karmouch A. (2012). Vertical Mobility Management Architectures in Wireless Networks: A Comprehensive Survey and Future Directions. In Communications Surveys Tutorials, IEEE, 14(1) (pp. 45–63). IEEE.
• [5] Fredericks A. (1980, July–August). Congestion in Blocking Systems–A Simple Approximation Tech nique. In Bell System Technical Journal, 59(6) (pp. 805–827).
• [6] Głąbowski M., Kaliszan A., Stasiak M. (2016). Modelling Overflow Systems with Distributed Secondary Resources. In Computer Networks, 108 (pp. 171–183).
• [7] Głąbowski M.(2007,October). ContinuousThreshold Model for Multi-service Wireless Systems with PCT1 and PCT2 Traffic. In Proceedings of 7th International Symposium on Communications and Information Technologies (pp. 427–432), Sydney.
• [8] Głąbowski M., Hanczewski S., Stasiak M. (2011, September). Erlang’s Ideal Grading in Diffserv Modelling. In Proceedings of IEEE Africon 2011 (pp. 1–6), Livingstone, Zambia. IEEE.
• [9] Głąbowski M., Hanczewski S., Stasiak M. (2015). Modelling of Cellular Networks with Traffic Overflow. Mathematical Problems in Engineering, 2015:15.
• [10] Głąbowski M., Kmiecik D., Stasiak M. (2016). Overflow of Elastic Traffic. In 2016 International Conference on Broadb and Communications for Next Generation Networks and Multimedia Applications (CoBCom).
• [11] Głąbowski M., Kubasik M., Stasiak M. (2008, March). Modeling of Systems with Overflow Multirate Traffic. Telecommunication Systems, 37(1–3) (pp. 85–96).
• [12] Głąbowski M., Sobieraj M., Stasiak M. (2007, October). Blocking Probability Calculation in UMTS Networks with Bandwidth Reservation, Handoff Mechanism and Finite Source Population. In Proceedings of 7th International Symposium on Communications and Information Technologies (pp. 433–438), Sydney.
• [13] Głąbowski M., Sobieraj M., Stasiak M.(2012,July). A Full-availability Group Model with Multi service Sources and Threshold Mechanisms. In Proceedings of the 8th IEEE, IET International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP2012), Poznan, Poland.
• [14] Głąbowski M., Sobieraj M., Stasiak M. (2012, May). Modelling Limited-availability Systems with Multi-service Sources and Bandwidth Reservation. In Proceedings of the The Eighth Advanced International Conference on Telecommunications (AICT 2012) (pp. 105–110), Stuttgart, Germany. IARIA.
• [15] Głąbowski M., Stasiak M. (2016). Multiservice Switching Networks with Overflow Links and Resource Reservation. In Mathematical Problems in Engineering.
• [16] Hu L-R., Rappaport S.S. (1995). Personal Communication Systems Using Multiple Hierarchical Cellular Overlays. In IEEE Journal on Selected Areas in Communications, 13(2) (pp. 406–415).
• [17] Huang Q., Ko K-T, Iversen V. (2008, March). Approximation of Loss Calculation for Hierarchical Networks with Multiservice Overflows. In IEEE Transactions on Communications, 56(3) (pp. 466– 473). IEEE.
• [18] Lagrange X., Godlewski P. (1996). Performance of a Hierarchical Cellular Network with Mobility dependent Handover Strategies. In Proceedings of IEEE Vehicular Technology Conference, volume 3 (pp. 1868–1872). IEEE.
• [19] Li S., Grace D., Wei J., Ma D. (2010, September). Guaranteed Handover Schemes for a Multilayer Cellular System. In 7th International Symposium on Wireless Communication Systems (pp. 300–304).
• [20] LinY-B,Chang L-F,Noerpel A.(1995,June). Modeling Hierarchical Microcell/Macrocell PCS Architecture. In Communications, 1995. ICC ’95 Seattle, Gateway to Globalization, 1995 IEEE International Conference on, volume 1 (pp. 405–409). IEEE.
• [21] Moscholios I.D., Logothetis M.D., Boucouvalasand A.C. (2015). Blocking Probabilities of Elastic and Adaptive Calls in the Erlang Multirate Loss Model under the Threshold Policy. In Telecommunication Systems.
• [22] Moscholios I.D., Logothetis M.D., Vardakas J.S., Boucouvalas A.C. (2015). Performance Metrics of a Multirate Resource Sharing Teletraffic Model with Finite Sources under the Threshold and Bandwidth Reservation Policies. In IET Networks, 4(3) (pp. 195–208).
• [23] PaxonV., FloydS.(1994,August). Wide-AreaTraffic: The Failure of Traffic Modeling. In Proceedings of the 1994 SIGCOMM Conference (pp. 257–268).
• [24] Postel J. (1981, September). Transmission Control Protocol. RFC793(INTERNETSTANDARD). Updated by RFCs 1122, 3168, 6093, 6528.
• [25] Rapp Y. (1964). Planning of Junction Network in aMulti-exchangeArea. InProceedingsof4thInternational Teletraffic Congress pp. 4, London.
• [26] Schehrer R. (1970, September). On the Exact Calculation of Overflow Systems. In Proceedings of 6th International Teletraffic Congress (pp. 147/1– 147/8), Munich.
• [27] Schehrer R. (1978, January). On the Calculation of Overflow Systems with a Finite Number of Sources and Full Availiable Groups. In IEEE Transactions on Communications, 26(1) (pp.75–82). IEEE.
• [28] Sgora A., Vergados D.D. (2009). Handoff Prioritization and Decision Schemes in Wireless Cellular Networks: A Survey. In Communications Surveys Tutorials, IEEE, 11(4) (pp. 57–77). IEEE.
• [29] Shortle J.F. (2004). An Equivalent Random Method with Hyper-exponential Service. In Journal of Performance Evaluation, 57(3) (pp. 409–422).
• [30] Stasiak M., Głąbowski M., Wiśniewski A., Zwierzykowski P. (2011). Modeling and Dimensioning of Mobile Networks. Wiley.
• [31] Tripathi N.D., Reed J.H., VanLandinoham H.F. (1998, December). Handoff in Cellular Systems. In Personal Communications, IEEE, 5(6) (pp. 26–37). IEEE.
• [32] Wilkinson R.I. (1956). Theories of Toll Traffic Engineering in the USA. In Bell System Technical Journal, 40 (pp. 421–514).
• [33] Moscholios I.D., Logothetis M.D., Vardakas J.S., Boucouvalas A.C. (2015, December). Congestion Probabilities of Elastic and Adaptive Calls in Erlang-Engset Multirate Loss Models under the Threshold and Bandwidth Reservation Policies, In Computer Networks, vol. 92, part 1 (pp. 1-23).
• [34] Moscholios I.D., Vardakas J.S., Logothetis M.D., Koukias M.N (2013, December). A Quasi-random Multirate Loss Model supporting Elastic and AdaptiveTraffic under the Bandwidth Reservation Policy, In Int. Journal on Advances in Networks and Services, vol. 6, No. 3 & 4 (pp. 163-174).

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).